BIOSTAR Group X570GTA
Geekbench AI Score
25501
Single Precision Score
36127
Half Precision Score
22233
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Robi758 |
| Upload Date | March 19 2025 04:53 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group X570GTA |
| Motherboard | BIOSTAR Group X570GTA |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11001
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
12837
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10582
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12553
203.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14040
227.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15460
251.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177459
207.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
507819
592.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
163774
191.9 IPS |
|
|
Object Detection (SP)
|
100% |
10922
866.3 IPS |
|
|
Object Detection (HP)
|
99% |
14709
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
10434
835.6 IPS |
|
|
Face Detection (SP)
|
100% |
32881
390.7 IPS |
|
|
Face Detection (HP)
|
100% |
37963
451.1 IPS |
|
|
Face Detection (Q)
|
97% |
30647
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
70069
539.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101869
784.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
58101
476.1 IPS |
|
|
Style Transfer (SP)
|
100% |
317293
407.9 IPS |
|
|
Style Transfer (HP)
|
100% |
571686
734.9 IPS |
|
|
Style Transfer (Q)
|
98% |
292775
377.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43047
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70678
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37899
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2247
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4518
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2378
53.0 IPS |
